• Click on the titles of individual talks for abstract, slides and archived video.

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Coffee and Check-In
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Introduction & Motivation
Lalitha Sankar (Arizona State University)
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Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part I)
Aaron Wagner (Cornell University)
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Break
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Unifying IT Leakage Measures via the Lens of Adversarial Learning
Lalitha Sankar (Arizona State University)
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Lunch
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Fairness: IT Approaches
Flavio du Pin Calmon (Harvard University)
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Break
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Generative Adversarial Models for Privacy and Fairness
Peter Kairouz (Google AI)
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Coffee and Check-In
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New Case-Studies in Inferential and Differential Privacy
Kamalika Chaudhuri (UC San Diego)
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Information Bottleneck and Privacy Funnel: IT Lens on Privacy-Utility Tradeoff (PUT) Problems
Flavio du Pin Calmon (Harvard University)
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Break
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Evaluating Privacy and Fairness Schemes via Adversarial Threat Models
Peter Kairouz (Google AI)
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Lunch
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Discussion/Q&A
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Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part II)
Aaron Wagner (Cornell University)
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Mechanism Design: Sample Complexity and Loss Functions
Lalitha Sankar (Arizona State University)